G01G9/00

INTERFEROMETRIC SCATTERING MICROSCOPY
20200386975 · 2020-12-10 ·

An interferometric scattering microscope is adapted by performing spatial filtering of output light, which comprises both light scattered from a sample location and illuminating light reflected from the sample location, prior to detection of the output light. The spatial filtering passes the reflected illumination light but with a reduction in intensity that is greater within a predetermined numerical aperture than at larger numerical apertures. This enhances the imaging contrast for coherent illumination, particularly for objects that are weak scatterers.

Method of generating a three dimensional surface profile of a food object
10845615 · 2020-11-24 · ·

A method of generating a three dimensional surface profile of a food object is provided wherein a food object is exposed with a conical X-ray beam while the food object is conveyed. The attenuation of the X-rays after penetrating through the food object is detected, and the detection is performed using a plurality of sensors arranged below the food object. The plurality of sensors are positioned at predetermined angular positions in relation to the X-ray source. For each of the plurality of sensors, the detected attenuation is converted into a penetration length of the X-ray beam, and the penetration length indicates the length from where the X-ray beam enters and leaves the food object. Surface coordinates are sequentially determined using the penetration lengths and the angular positions as input data.

Regression-based animal weight estimation

In one embodiment, a method executed by a computing system, comprising: receiving pixel samples from three-dimensional (3D) data corresponding to one or more images comprising one or more animals; fitting curves for the received pixel samples; deriving parameters from the curves; determining measurements based on variations in the parameters; and estimating a weight of the one or more animals by applying one or more regression algorithms to the measurements.

Estimating gemstone weight in mounted settings

A system comprises a faceted structure imaging assembly and a faceted structure image analyzer. The system is configured to determine carat weight of a gemstone while in a mounted setting. In a first mode, the imaging assembly obtains a first image of a top gemstone surface. The image analyzer uses the first image to obtain at least one gemstone dimension, such as table and diameter dimensions. In a second mode, the imaging assembly obtains a second image of the top gemstone surface while a colored light pattern is reflected onto the gemstone. The image analyzer uses the second image to obtain at least one other gemstone dimension, such as crown and pavilion angles. The image analyzer uses the dimensions obtained from the first and second images to determine weight information of the gemstone. The system quickly determines gemstone weight reliably and consistently without skilled gemologists or removal from the setting.

Estimating gemstone weight in mounted settings

A system comprises a faceted structure imaging assembly and a faceted structure image analyzer. The system is configured to determine carat weight of a gemstone while in a mounted setting. In a first mode, the imaging assembly obtains a first image of a top gemstone surface. The image analyzer uses the first image to obtain at least one gemstone dimension, such as table and diameter dimensions. In a second mode, the imaging assembly obtains a second image of the top gemstone surface while a colored light pattern is reflected onto the gemstone. The image analyzer uses the second image to obtain at least one other gemstone dimension, such as crown and pavilion angles. The image analyzer uses the dimensions obtained from the first and second images to determine weight information of the gemstone. The system quickly determines gemstone weight reliably and consistently without skilled gemologists or removal from the setting.

Interferometric scattering microscopy

An interferometric scattering microscope is adapted by performing spatial filtering of output light, which comprises both light scattered from a sample location and illuminating light reflected from the sample location, prior to detection of the output light. The spatial filtering passes the reflected illumination light but with a reduction in intensity that is greater within a predetermined numerical aperture than at larger numerical apertures. This enhances the imaging contrast for coherent illumination, particularly for objects that are weak scatterers.

Patient Weight Estimation from Surface Data using a Patient Model

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

REGRESSION-BASED ANIMAL WEIGHT ESTIMATION

In one embodiment, a method executed by a computing system, comprising: receiving pixel samples from three-dimensional (3D) data corresponding to one or more images comprising one or more animals; fitting curves for the received pixel samples; deriving parameters from the curves; determining measurements based on variations in the parameters; and estimating a weight of the one or more animals by applying one or more regression algorithms to the measurements.

METHOD AND SYSTEM FOR OPTICAL AND MICROWAVE SYNERGISTIC RETRIEVAL OF ABOVEGROUND BIOMASS
20200225075 · 2020-07-16 ·

A method of optical and microwave synergistic retrieval of aboveground biomass, the method including: 1) obtaining an observation value of aboveground biomass (AGB) of a sample plot; 2) pre-processing laser radar (LiDAR) data, optical remote sensing data and microwave remote sensing data covering a research region, to yield crown height model (CHM) data, surface reflectance data and a backscattering coefficient, respectively; 3) extracting different LiDAR variables, extracting a plurality of optical characteristic vegetation indexes, and extracting a plurality of microwave characteristic variables; 4) establishing a multiple stepwise linear regression model of the biomass; 5) taking the biomass value of the LiDAR data coverage region as a training set and a verification sample set, and selecting samples for modeling and verification; 6) screening out the optical and microwave characteristic variables; and 7) constructing an optical model, a microwave model, and an optical and microwave synergistic model of AGB retrieval, respectively.

Food processing system for processing and batching food items
10712195 · 2020-07-14 · ·

A food processing system and a method for processing and batching food items conveyed by a conveyor means where the batches fulfil at least one target criteria including at least one weight target, including a first weight determining means for determining the weight of incoming food items, a batching system, a food item separation device positioned downstream in relation to the first weight determining means and upstream in relation to the batching system, and a control system for controlling the batching system and the food item separation device. The controlling including, repeatedly: monitoring the weight of the incoming food items, determining, based on the weight of the incoming food items, a prospect indicator indicating the prospect to meet the target criteria for the batches such that each batch fulfils the at least one target criteria, and comparing if the prospect indicator fulfils a pre-defined criteria.